# Deploy Langflow on Google Cloud Platform

**Duration**: 45 minutes  
**Author**: [Robert Wilkins III](https://www.linkedin.com/in/robertwilkinsiii)

## Introduction

In this tutorial, you will learn how to deploy Langflow on [Google Cloud Platform](https://cloud.google.com/) (GCP) using Google Cloud Shell.

This tutorial assumes you have a GCP account and basic knowledge of Google Cloud Shell. If you're not familiar with Cloud Shell, you can review the [Cloud Shell documentation](https://cloud.google.com/shell/docs).

## Set up your environment

Before you start, make sure you have the following prerequisites:

- A GCP account with the necessary permissions to create resources
- A project on GCP where you want to deploy Langflow

[**Select your GCP project**]<walkthrough-project-setup></walkthrough-project-setup>

In the next step, you'll configure the GCP environment and deploy Langflow.

## Configure the GCP environment and deploy Langflow
Run the deploy_langflow_gcp.sh script to configure the GCP environment and deploy Langflow:

```bash
gcloud auth login --brief --quiet
bash ./deploy_langflow_gcp.sh
```

The script will:

1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed
2. Create a startup script to install Python, Langflow, and Nginx
3. Create a Compute Engine VM instance with the specified configuration and startup script
4. Configure Nginx to serve Langflow on TCP port 8080

In the next step, you'll learn how to connect to the Langflow VM.

## Connect to the Langflow VM
To connect to your new Langflow VM, follow these steps:

1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page
2. Click on the external IP for your VM
3. Add port 8080 (assuming your VM external IP is 192.168.0.1):
http://192.168.0.1:8080
4. You will be greeted by the Langflow Dev environment

Congratulations! You have successfully deployed Langflow on Google Cloud Platform.

## Cleanup
If you want to remove the resources created during this tutorial, you can use the following commands:

```sql
gcloud compute instances delete langflow-dev --zone us-central1-a --quiet

gcloud compute routers nats delete nat-gateway --router nat-client --region us-central1 --quiet

gcloud compute routers delete nat-client --region us-central1 --quiet

gcloud compute firewall-rules delete allow-tcp-8080 --quiet

gcloud compute firewall-rules delete allow-iap --quiet

gcloud compute networks subnets delete default --region us-central1 --quiet

gcloud compute networks delete default --quiet
```